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p-based loss function #2

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T-nfd opened this issue Apr 6, 2023 · 2 comments
Open

p-based loss function #2

T-nfd opened this issue Apr 6, 2023 · 2 comments

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@T-nfd
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T-nfd commented Apr 6, 2023

Dear @zengh5

I read your great paper, "A comparison study of CNN denoisers on PRNU extraction."
I have a model that I've defined as criterion = nn.CrossEntropyLoss().to(device).
So in the training part I have loss = criterion(outputs, labels)
I want to use your p-based loss function, but I don't know how?
Could you please help me with that?

@zengh5
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zengh5 commented Apr 8, 2023

Dear T-nfd:
Thanks for your interesting. Can you explain your issue more clearly and send it to my email [email protected]

@JhxxxQ
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JhxxxQ commented Apr 23, 2023

Hello @T-nfd , I doing some researches about sci too, could you leave your email for communication?
Thank you!

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